RushDB Python SDK

These details have not been verified by PyPI

Project links

Project description

RushDB Logo

RushDB Python SDK

PyPI - Version

PyPI - Python Version

PyPI - License

RushDB is an instant database for modern apps and DS/ML ops built on top of Neo4j.

It automates data normalization, manages relationships, and infers data types, enabling developers to focus on building features rather than wrestling with data.

🌐 Homepage — 📢 Blog — ☁️ Platform — 📚 Docs — 🧑‍💻 Examples

Installation

Install the RushDB Python SDK via pip:

pip install rushdb

Usage

1. Setup SDK

from rushdb import RushDB

db = RushDB("API_TOKEN", base_url="https://api.rushdb.com")

2. Push any JSON data

company_data = {
    "name": "Google LLC",
    "address": "1600 Amphitheatre Parkway, Mountain View, CA 94043, USA",
    "foundedAt": "1998-09-04T00:00:00.000Z",
    "rating": 4.9,
    "DEPARTMENT": [{
        "name": "Research & Development",
        "description": "Innovating and creating advanced technologies for AI, cloud computing, and consumer devices.",
        "PROJECT": [{
            "name": "Bard AI",
            "description": "A state-of-the-art generative AI model for natural language understanding and creation.",
            "active": True,
            "budget": 1200000000,
            "EMPLOYEE": [{
                "name": "Jeff Dean",
                "position": "Head of AI Research",
                "email": "jeff@google.com",
                "dob": "1968-07-16T00:00:00.000Z",
                "salary": 3000000
            }]
        }]
    }]
}

db.records.create_many("COMPANY", company_data)

This operation will create 4 Records with proper data types and relationships according to this structure:

(Record:COMPANY)
  -[r0:RUSHDB_DEFAULT_RELATION]->
    (Record:DEPARTMENT)
      -[r1:RUSHDB_DEFAULT_RELATION]->
        (Record:PROJECT) 
          -[r2:RUSHDB_DEFAULT_RELATION]->
            (Record:EMPLOYEE)

3. Find Records by specific criteria

query = {
    "labels": ["EMPLOYEE"],
    "where": {
        "position": {"$contains": "AI"},
        "PROJECT": {
            "DEPARTMENT": {
                "COMPANY": {
                    "rating": {"$gte": 4}
                }
            }
        }
    }
}

matched_employees = db.records.find(query)

company = db.records.find_uniq("COMPANY", {"where": {"name": "Google LLC"}})

Documentation

RecordsAPI Documentation

The RecordsAPI class provides methods for managing records in RushDB. It handles record creation, updates, deletion, searching, and relationship management.

Methods

create()

Creates a new record in RushDB.

Signature:

def create(
    self,
    label: str,
    data: Dict[str, Any],
    options: Optional[Dict[str, bool]] = None,
    transaction: Optional[Transaction] = None
) -> Record

Arguments:

label (str): Label for the record
data (Dict[str, Any]): Record data
options (Optional[Dict[str, bool]]): Optional parsing and response options
- returnResult (bool): Whether to return the created record
- suggestTypes (bool): Whether to suggest property types
transaction (Optional[Transaction]): Optional transaction object

Returns:

Record: Created record object

Example:

# Create a new company record
data = {
    "name": "Google LLC",
    "address": "1600 Amphitheatre Parkway",
    "foundedAt": "1998-09-04T00:00:00.000Z",
    "rating": 4.9
}

record = db.records.create(
    label="COMPANY",
    data=data,
    options={"returnResult": True, "suggestTypes": True}
)

create_many()

Creates multiple records in a single operation.

Signature:

def create_many(
    self,
    label: str,
    data: Union[Dict[str, Any], List[Dict[str, Any]]],
    options: Optional[Dict[str, bool]] = None,
    transaction: Optional[Transaction] = None
) -> List[Record]

Arguments:

label (str): Label for all records
data (Union[Dict[str, Any], List[Dict[str, Any]]]): List or Dict of record data
options (Optional[Dict[str, bool]]): Optional parsing and response options
transaction (Optional[Transaction]): Optional transaction object

Returns:

List[Record]: List of created record objects

Example:

# Create multiple company records
data = [
    {
        "name": "Apple Inc",
        "address": "One Apple Park Way",
        "foundedAt": "1976-04-01T00:00:00.000Z",
        "rating": 4.8
    },
    {
        "name": "Microsoft Corporation",
        "address": "One Microsoft Way",
        "foundedAt": "1975-04-04T00:00:00.000Z",
        "rating": 4.7
    }
]

records = db.records.create_many(
    label="COMPANY",
    data=data,
    options={"returnResult": True, "suggestTypes": True}
)

set()

Updates a record by ID, replacing all data.

Signature:

def set(
    self,
    record_id: str,
    data: Dict[str, Any],
    transaction: Optional[Transaction] = None
) -> Dict[str, str]

Arguments:

record_id (str): ID of the record to update
data (Dict[str, Any]): New record data
transaction (Optional[Transaction]): Optional transaction object

Returns:

Dict[str, str]: Response data

Example:

# Update entire record data
new_data = {
    "name": "Updated Company Name",
    "rating": 5.0
}

response = db.records.set(
    record_id="record-123",
    data=new_data
)

update()

Updates specific fields of a record by ID.

Signature:

def update(
    self,
    record_id: str,
    data: Dict[str, Any],
    transaction: Optional[Transaction] = None
) -> Dict[str, str]

Arguments:

record_id (str): ID of the record to update
data (Dict[str, Any]): Partial record data to update
transaction (Optional[Transaction]): Optional transaction object

Returns:

Dict[str, str]: Response data

Example:

# Update specific fields
updates = {
    "rating": 4.8,
    "status": "active"
}

response = db.records.update(
    record_id="record-123",
    data=updates
)

find()

Searches for records matching specified criteria.

Signature:

def find(
    self,
    query: Optional[SearchQuery] = None,
    record_id: Optional[str] = None,
    transaction: Optional[Transaction] = None
) -> List[Record]

Arguments:

query (Optional[SearchQuery]): Search query parameters
record_id (Optional[str]): Optional record ID to search from
transaction (Optional[Transaction]): Optional transaction object

Returns:

List[Record]: List of matching records

Example:

# Search for records with complex criteria
query = {
    "where": {
        "$and": [
            {"age": {"$gte": 18}},
            {"status": "active"},
            {"department": "Engineering"}
        ]
    },
    "orderBy": {"created_at": "desc"},
    "limit": 10
}

records = db.records.find(query=query)

delete()

Deletes records matching a query.

Signature:

def delete(
    self,
    query: SearchQuery,
    transaction: Optional[Transaction] = None
) -> Dict[str, str]

Arguments:

query (SearchQuery): Query to match records for deletion
transaction (Optional[Transaction]): Optional transaction object

Returns:

Dict[str, str]: Response data

Example:

# Delete records matching criteria
query = {
    "where": {
        "status": "inactive",
        "lastActive": {"$lt": "2023-01-01"}
    }
}

response = db.records.delete(query)

delete_by_id()

Deletes one or more records by ID.

Signature:

def delete_by_id(
    self,
    id_or_ids: Union[str, List[str]],
    transaction: Optional[Transaction] = None
) -> Dict[str, str]

Arguments:

id_or_ids (Union[str, List[str]]): Single ID or list of IDs to delete
transaction (Optional[Transaction]): Optional transaction object

Returns:

Dict[str, str]: Response data

Example:

# Delete single record
response = db.records.delete_by_id("record-123")

# Delete multiple records
response = db.records.delete_by_id([
    "record-123",
    "record-456",
    "record-789"
])

attach()

Creates relationships between records.

Signature:

def attach(
    self,
    source: Union[str, Dict[str, Any]],
    target: Union[str, List[str], Dict[str, Any], List[Dict[str, Any]], Record, List[Record]],
    options: Optional[RelationshipOptions] = None,
    transaction: Optional[Transaction] = None
) -> Dict[str, str]

Arguments:

source (Union[str, Dict[str, Any]]): Source record ID or data
target (Union[str, List[str], Dict[str, Any], List[Dict[str, Any]], Record, List[Record]]): Target record(s)
options (Optional[RelationshipOptions]): Relationship options
- direction (Optional[Literal["in", "out"]]): Relationship direction
- type (Optional[str]): Relationship type
transaction (Optional[Transaction]): Optional transaction object

Returns:

Dict[str, str]: Response data

Example:

# Create relationship between records
options = RelationshipOptions(
    type="HAS_EMPLOYEE",
    direction="out"
)

response = db.records.attach(
    source="company-123",
    target=["employee-456", "employee-789"],
    options=options
)

detach()

Removes relationships between records.

Signature:

def detach(
    self,
    source: Union[str, Dict[str, Any]],
    target: Union[str, List[str], Dict[str, Any], List[Dict[str, Any]], Record, List[Record]],
    options: Optional[RelationshipDetachOptions] = None,
    transaction: Optional[Transaction] = None
) -> Dict[str, str]

Arguments:

source (Union[str, Dict[str, Any]]): Source record ID or data
target (Union[str, List[str], Dict[str, Any], List[Dict[str, Any]], Record, List[Record]]): Target record(s)
options (Optional[RelationshipDetachOptions]): Detach options
- direction (Optional[Literal["in", "out"]]): Relationship direction
- typeOrTypes (Optional[Union[str, List[str]]]): Relationship type(s)
transaction (Optional[Transaction]): Optional transaction object

Returns:

Dict[str, str]: Response data

Example:

# Remove relationships between records
options = RelationshipDetachOptions(
    typeOrTypes=["HAS_EMPLOYEE", "MANAGES"],
    direction="out"
)

response = db.records.detach(
    source="company-123",
    target="employee-456",
    options=options
)

import_csv()

Imports records from CSV data.

Signature:

def import_csv(
    self,
    label: str,
    csv_data: Union[str, bytes],
    options: Optional[Dict[str, bool]] = None,
    transaction: Optional[Transaction] = None
) -> List[Dict[str, Any]]

Arguments:

label (str): Label for imported records
csv_data (Union[str, bytes]): CSV data to import
options (Optional[Dict[str, bool]]): Import options
transaction (Optional[Transaction]): Optional transaction object

Returns:

List[Dict[str, Any]]: Imported records data

Example:

# Import records from CSV
csv_data = """name,age,department,role
John Doe,30,Engineering,Senior Engineer
Jane Smith,28,Product,Product Manager
Bob Wilson,35,Engineering,Tech Lead"""

records = db.records.import_csv(
    label="EMPLOYEE",
    csv_data=csv_data,
    options={"returnResult": True, "suggestTypes": True}
)

Record Class Documentation

The Record class represents a record in RushDB and provides methods for manipulating individual records, including updates, relationships, and deletions.

Class Definition

class Record:
    def __init__(self, client: "RushDB", data: Union[Dict[str, Any], None] = None)

Properties

id

Gets the record's unique identifier.

Type: str

Example:

record = db.records.create("USER", {"name": "John"})
print(record.id)  # e.g., "1234abcd-5678-..."

proptypes

Gets the record's property types.

Type: str

Example:

record = db.records.create("USER", {"name": "John", "age": 25})
print(record.proptypes)  # Returns property type definitions

label

Gets the record's label.

Type: str

Example:

record = db.records.create("USER", {"name": "John"})
print(record.label)  # "USER"

timestamp

Gets the record's creation timestamp from its ID.

Type: int

Example:

record = db.records.create("USER", {"name": "John"})
print(record.timestamp)  # Unix timestamp in milliseconds

date

Gets the record's creation date.

Type: datetime

Example:

record = db.records.create("USER", {"name": "John"})
print(record.date)  # datetime object

Methods

set()

Updates all data for the record.

Signature:

def set(
    self,
    data: Dict[str, Any],
    transaction: Optional[Transaction] = None
) -> Dict[str, str]

Arguments:

data (Dict[str, Any]): New record data
transaction (Optional[Transaction]): Optional transaction object

Returns:

Dict[str, str]: Response data

Example:

record = db.records.create("USER", {"name": "John"})
response = record.set({
    "name": "John Doe",
    "email": "john@example.com",
    "age": 30
})

update()

Updates specific fields of the record.

Signature:

def update(
    self,
    data: Dict[str, Any],
    transaction: Optional[Transaction] = None
) -> Dict[str, str]

Arguments:

data (Dict[str, Any]): Partial record data to update
transaction (Optional[Transaction]): Optional transaction object

Returns:

Dict[str, str]: Response data

Example:

record = db.records.create("USER", {
    "name": "John",
    "email": "john@example.com"
})
response = record.update({
    "email": "john.doe@example.com"
})

attach()

Creates relationships with other records.

Signature:

def attach(
    self,
    target: Union[str, List[str], Dict[str, Any], List[Dict[str, Any]], "Record", List["Record"]],
    options: Optional[RelationshipOptions] = None,
    transaction: Optional[Transaction] = None
) -> Dict[str, str]

Arguments:

target (Union[str, List[str], Dict[str, Any], List[Dict[str, Any]], Record, List[Record]]): Target record(s)
options (Optional[RelationshipOptions]): Relationship options
- direction (Optional[Literal["in", "out"]]): Relationship direction
- type (Optional[str]): Relationship type
transaction (Optional[Transaction]): Optional transaction object

Returns:

Dict[str, str]: Response data

Example:

# Create two records
user = db.records.create("USER", {"name": "John"})
group = db.records.create("GROUP", {"name": "Admins"})

# Attach user to group
response = user.attach(
    target=group,
    options=RelationshipOptions(
        type="BELONGS_TO",
        direction="out"
    )
)

detach()

Removes relationships with other records.

Signature:

def detach(
    self,
    target: Union[str, List[str], Dict[str, Any], List[Dict[str, Any]], "Record", List["Record"]],
    options: Optional[RelationshipDetachOptions] = None,
    transaction: Optional[Transaction] = None
) -> Dict[str, str]

Arguments:

target (Union[str, List[str], Dict[str, Any], List[Dict[str, Any]], Record, List[Record]]): Target record(s)
options (Optional[RelationshipDetachOptions]): Detach options
- direction (Optional[Literal["in", "out"]]): Relationship direction
- typeOrTypes (Optional[Union[str, List[str]]]): Relationship type(s)
transaction (Optional[Transaction]): Optional transaction object

Returns:

Dict[str, str]: Response data

Example:

# Detach user from group
response = user.detach(
    target=group,
    options=RelationshipDetachOptions(
        typeOrTypes="BELONGS_TO",
        direction="out"
    )
)

delete()

Deletes the record.

Signature:

def delete(
    self,
    transaction: Optional[Transaction] = None
) -> Dict[str, str]

Arguments:

transaction (Optional[Transaction]): Optional transaction object

Returns:

Dict[str, str]: Response data

Example:

user = db.records.create("USER", {"name": "John"})
response = user.delete()

Complete Usage Example

Here's a comprehensive example demonstrating various Record operations:

# Create a new record
user = db.records.create("USER", {
    "name": "John Doe",
    "email": "john@example.com",
    "age": 30
})

# Access properties
print(f"Record ID: {user.id}")
print(f"Label: {user.label}")
print(f"Created at: {user.date}")

# Update record data
user.update({
    "age": 31,
    "title": "Senior Developer"
})

# Create related records
department = db.records.create("DEPARTMENT", {
    "name": "Engineering"
})

project = db.records.create("PROJECT", {
    "name": "Secret Project"
})

# Create relationships
user.attach(
    target=department,
    options=RelationshipOptions(
        type="BELONGS_TO",
        direction="out"
    )
)

user.attach(
    target=project,
    options=RelationshipOptions(
        type="WORKS_ON",
        direction="out"
    )
)

# Remove relationship
user.detach(
    target=project,
    options=RelationshipDetachOptions(
        typeOrTypes="WORKS_ON",
        direction="out"
    )
)

# Delete record
user.delete()

Working with Transactions

Records can be manipulated within transactions for atomic operations:

# Start a transaction
with db.transactions.begin() as transaction:
    # Create user
    user = db.records.create(
        "USER",
        {"name": "John Doe"},
        transaction=transaction
    )
    
    # Update user
    user.update(
        {"status": "active"},
        transaction=transaction
    )
    
    # Create and attach department
    dept = db.records.create(
        "DEPARTMENT",
        {"name": "Engineering"},
        transaction=transaction
    )
    
    user.attach(
        target=dept,
        options=RelationshipOptions(type="BELONGS_TO"),
        transaction=transaction
    )
    
    # Transaction will automatically commit if no errors occur
    # If an error occurs, it will automatically rollback

PropertiesAPI Documentation

The PropertiesAPI class provides methods for managing and querying properties in RushDB.

Class Definition

class PropertiesAPI(BaseAPI):

Methods

find()

Retrieves a list of properties based on optional search criteria.

Signature:

def find(
    self,
    query: Optional[SearchQuery] = None,
    transaction: Optional[Transaction] = None
) -> List[Property]

Arguments:

query (Optional[SearchQuery]): Search query parameters for filtering properties
transaction (Optional[Transaction]): Optional transaction object

Returns:

List[Property]: List of properties matching the search criteria

Example:

# Find all properties
properties = client.properties.find()

# Find properties with specific criteria
query = {
    "where": {
        "name": {"$startsWith": "user_"},  # Properties starting with 'user_'
        "type": "string"  # Only string type properties
    },
    "limit": 10  # Limit to 10 results
}
filtered_properties = client.properties.find(query)

find_by_id()

Retrieves a specific property by its ID.

Signature:

def find_by_id(
    self,
    property_id: str,
    transaction: Optional[Transaction] = None
) -> Property

Arguments:

property_id (str): Unique identifier of the property
transaction (Optional[Transaction]): Optional transaction object

Returns:

Property: Property details

Example:

# Retrieve a specific property by ID
property_details = client.properties.find_by_id("prop_123456")

delete()

Deletes a property by its ID.

Signature:

def delete(
    self,
    property_id: str,
    transaction: Optional[Transaction] = None
) -> None

Arguments:

property_id (str): Unique identifier of the property to delete
transaction (Optional[Transaction]): Optional transaction object

Returns:

None

Example:

# Delete a property
client.properties.delete("prop_123456")

values()

Retrieves values for a specific property with optional sorting and pagination.

Signature:

def values(
    self,
    property_id: str,
    sort: Optional[Literal["asc", "desc"]] = None,
    skip: Optional[int] = None,
    limit: Optional[int] = None,
    transaction: Optional[Transaction] = None
) -> PropertyValuesData

Arguments:

property_id (str): Unique identifier of the property
sort (Optional[Literal["asc", "desc"]]): Sort order of values
skip (Optional[int]): Number of values to skip (for pagination)
limit (Optional[int]): Maximum number of values to return
transaction (Optional[Transaction]): Optional transaction object

Returns:

PropertyValuesData: Property values data, including optional min/max and list of values

Example:

# Get property values
values_data = client.properties.values(
    property_id="prop_age",
    sort="desc",  # Sort values in descending order
    skip=0,       # Start from the first value
    limit=100     # Return up to 100 values
)

# Access values
print(values_data.get('values', []))  # List of property values
print(values_data.get('min'))         # Minimum value (for numeric properties)
print(values_data.get('max'))         # Maximum value (for numeric properties)

Comprehensive Usage Example

# Find all properties
all_properties = client.properties.find()
for prop in all_properties:
    print(f"Property ID: {prop['id']}")
    print(f"Name: {prop['name']}")
    print(f"Type: {prop['type']}")
    print(f"Metadata: {prop.get('metadata', 'No metadata')}")
    print("---")

# Detailed property search
query = {
    "where": {
        "type": "number",             # Only numeric properties
        "name": {"$contains": "score"}  # Properties with 'score' in name
    },
    "limit": 5  # Limit to 5 results
}
numeric_score_properties = client.properties.find(query)

# Get values for a specific property
if numeric_score_properties:
    first_prop = numeric_score_properties[0]
    prop_values = client.properties.values(
        property_id=first_prop['id'],
        sort="desc",
        limit=50
    )
    print(f"Values for {first_prop['name']}:")
    print(f"Min: {prop_values.get('min')}")
    print(f"Max: {prop_values.get('max')}")
    
    # Detailed property examination
    detailed_prop = client.properties.find_by_id(first_prop['id'])
    print("Detailed Property Info:", detailed_prop)

Property Types and Structures

RushDB supports the following property types:

"boolean": True/False values
"datetime": Date and time values
"null": Null/empty values
"number": Numeric values
"string": Text values

Property Structure Example

property = {
    "id": "prop_unique_id",
    "name": "user_score",
    "type": "number",
    "metadata": Optional[str]  # Optional additional information
}

property_with_value = {
    "id": "prop_unique_id",
    "name": "user_score",
    "type": "number",
    "value": 95.5  # Actual property value
}

Transactions

Properties API methods support optional transactions for atomic operations:

# Using a transaction
with client.transactions.begin() as transaction:
    # Perform multiple property-related operations
    property_to_delete = client.properties.find(
        {"where": {"name": "temp_property"}},
        transaction=transaction
    )[0]
    
    client.properties.delete(
        property_id=property_to_delete['id'],
        transaction=transaction
    )
    # Transaction will automatically commit if no errors occur

Error Handling

When working with the PropertiesAPI, be prepared to handle potential errors:

try:
    # Attempt to find or delete a property
    property_details = client.properties.find_by_id("non_existent_prop")
except RushDBError as e:
    print(f"Error: {e}")
    print(f"Error Details: {e.details}")

Project details

These details have not been verified by PyPI

Project links

Release history Release notifications | RSS feed

2.0.0

May 10, 2026

1.19.0

Nov 26, 2025

1.14.0

Sep 14, 2025

1.10.0

Jul 27, 2025

1.9.0

Jun 30, 2025

1.8.0

Jun 30, 2025

1.6.0

Jun 20, 2025

1.5.1

Jun 11, 2025

1.5.0

Jun 10, 2025

1.4.0

Jun 9, 2025

1.2.0

May 26, 2025

1.0.0

May 17, 2025

0.3.0

Feb 14, 2025

This version

0.2.1

Feb 3, 2025

0.1.0

Feb 2, 2025

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

rushdb-0.2.1.tar.gz (21.1 kB view details)

Uploaded Feb 3, 2025 Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

The dropdown lists show the available interpreters, ABIs, and platforms. Enable javascript to be able to filter the list of wheel files.

rushdb-0.2.1-py3-none-any.whl (20.8 kB view details)

Uploaded Feb 3, 2025 Python 3

File details

Details for the file rushdb-0.2.1.tar.gz.

File metadata

Download URL: rushdb-0.2.1.tar.gz
Upload date: Feb 3, 2025
Size: 21.1 kB
Tags: Source
Uploaded using Trusted Publishing? No
Uploaded via: poetry/1.7.1 CPython/3.11.11 Linux/6.8.0-1020-azure

File hashes

Hashes for rushdb-0.2.1.tar.gz
Algorithm	Hash digest
SHA256	`9063534575734bd7b141ebb7f32976219fc9839c6709cc905f15426ac8d5416e`
MD5	`dfc3f9884b597bcfb329bf5465c423db`
BLAKE2b-256	`d8bb92c723ff8547fcbc948337a1469606128bb28c2fbe7348acacad7d6ee614`

See more details on using hashes here.

File details

Details for the file rushdb-0.2.1-py3-none-any.whl.

File metadata

Download URL: rushdb-0.2.1-py3-none-any.whl
Upload date: Feb 3, 2025
Size: 20.8 kB
Tags: Python 3
Uploaded using Trusted Publishing? No
Uploaded via: poetry/1.7.1 CPython/3.11.11 Linux/6.8.0-1020-azure

File hashes

Hashes for rushdb-0.2.1-py3-none-any.whl
Algorithm	Hash digest
SHA256	`c4f424390d78b5bf8652ac7e7d6daed74bd8b940fa391b96414b2f3e8b356563`
MD5	`ae2034173320618f1bc0b6d2986d51d4`
BLAKE2b-256	`42a8574beae22a5a0b45545ecdc1d5c759fd97dcc6e813867e54c54c2de9cd89`

See more details on using hashes here.

rushdb 0.2.1

Navigation

Verified details

Maintainers

Meta

Unverified details

Project links

Meta

Classifiers

Project description

RushDB Python SDK

Installation

Usage

1. Setup SDK

2. Push any JSON data

3. Find Records by specific criteria

Documentation

RecordsAPI Documentation

Methods

create()

create_many()

set()

update()

find()

delete()

delete_by_id()

attach()

detach()

import_csv()

Record Class Documentation

Class Definition

Properties

id

proptypes

label

timestamp

date

Methods

set()

update()

attach()

detach()

delete()

Complete Usage Example

Working with Transactions

PropertiesAPI Documentation

Class Definition

Methods

find()

find_by_id()

delete()

values()

Comprehensive Usage Example

Property Types and Structures

Property Structure Example

Transactions

Error Handling

Project details

Verified details

Maintainers

Meta

Unverified details

Project links

Meta

Classifiers

Release history Release notifications | RSS feed

Download files

Source Distribution

Built Distribution

File details

File metadata

File hashes

File details

File metadata

File hashes